The atmospheric residual error model of time-series InSAR based on ERA-5 PWV in Beijing, China

Key Points

• The model effectively reduces atmospheric residual error in InSAR data.
• A reduction of up to 25% in error rates was observed during the analysis.
• Assessment based on 12 months of InSAR data linked to ERA-5 precipitation values.
• Highlights the need for integrating atmospheric data in remote sensing applications.